The Ad Platforms Data Insights team at Apple is seeking a Data Scientist to develop analytical solutions that enhance the ads marketplace. This role involves collaboration with Engineering, Product, Sales, Marketing, and Finance to turn large datasets into actionable business insights. The ideal candidate will possess a strong foundation in statistics and machine learning, applying these skills to improve user experiences and drive app discovery. The position requires creativity and a hands-on approach to solving complex business problems in a fast-paced environment.

• 2+ years of recent experience in a data science role
• Programming skills in Python and SQL
• Familiarity with machine learning frameworks such as scikit-learn, xgboost, and PyTorch
• Knowledge of statistical analysis methods including regression analysis and A/B testing
• Experience with data stores like Hadoop and Snowflake
• Exceptional communication skills for conveying analyses to technical and executive audiences
• Bachelor's degree in Data Science, Applied Mathematics, Statistics, Computer Science or relevant field
• 4+ years of recent experience in a data science role
• Experience in the mobile advertising industry or related field
• Familiarity with job orchestration frameworks such as Airflow
• Demonstrated ability to build visualizations and dashboards

• Develop analytical solutions in collaboration with cross-functional teams
• Analyze large datasets to generate business insights that enhance customer experience
• Apply statistics and machine learning techniques to derive actionable insights
• Partner with engineering to meet business data needs and create analytical solutions
• Build initial prototypes to address complex business problems
• Communicate findings effectively to both technical teams and executive leadership

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.